Amy Brock, Ph.D.

Affiliations: 
2013- BME University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Cell Biology, Molecular Biology, General Biophysics
Website:
www.brocklab.com
Google:
"Amy Brock"
Mean distance: 19.77 (cluster 11)
 
SNBCP

Parents

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Donald E. Ingber grad student 2004 Harvard
 (Control of directional extension of lamellipodia by extracellular matrix and mechanical forces.)
Sui Huang post-doc Harvard Medical School (Cell Biology Tree)

Children

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Marshall Hunter Joyce grad student 2018 UT Austin
Aziz M. Al'Khafaji grad student 2019 UT Austin
Grant R. Howard grad student 2019 UT Austin
Kaitlyn E. Johnson grad student 2020 UT Austin
Eric Brenner grad student 2021 UT Austin
Andrea Gardner grad student 2024 UT Austin
Tyler Jost grad student 2024 UT Austin
BETA: Related publications

Publications

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Jost TA, Gardner AL, Morgan D, et al. (2024) Deep learning identifies heterogeneous subpopulations in breast cancer cell lines. Biorxiv : the Preprint Server For Biology
Kamra M, Chen YI, Delgado PC, et al. (2024) Ketomimetic Medium Promotes Metastatic Disposition and Chemoresistance in Breast Cancer Cells through Hypersialylation and Lipid Synthesis. Biorxiv : the Preprint Server For Biology
Gardner AL, Jost TA, Brock A. (2024) Computational identification of surface markers for isolating distinct subpopulations from heterogeneous cancer cell populations. Biorxiv : the Preprint Server For Biology
Miniere HJM, Lima EABF, Lorenzo G, et al. (2024) A mathematical model for predicting the spatiotemporal response of breast cancer cells treated with doxorubicin. Cancer Biology & Therapy. 25: 2321769
Howland KK, Brock A. (2023) Cellular barcoding tracks heterogeneous clones through selective pressures and phenotypic transitions. Trends in Cancer
Adler FR, Anderson ARA, Bhushan A, et al. (2023) Modeling collective cell behavior in cancer: Perspectives from an interdisciplinary conversation. Cell Systems. 14: 252-257
Cotner M, Meng S, Jost T, et al. (2022) Integration of Quantitative Methods and Mathematical Approaches for the Modeling of Cancer Cell Proliferation Dynamics. American Journal of Physiology. Cell Physiology
Yang EY, Howard GR, Brock A, et al. (2022) Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin. Frontiers in Molecular Biosciences. 9: 972146
Howard GR, Jost TA, Yankeelov TE, et al. (2022) Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules. Plos Computational Biology. 18: e1009104
Gardner A, Morgan D, Al'Khafaji A, et al. (2022) Functionalized Lineage Tracing for the Study and Manipulation of Heterogeneous Cell Populations. Methods in Molecular Biology (Clifton, N.J.). 2394: 109-131
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